ifko, LANB, PWML, PCA & Other Fascinating Post-ICL Acronyms
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1 ifko, LANB, PWML, PCA & Other Fascinating Post-ICL Acronyms R. Clint Whaley Dave Whalley Florida State University whaley Anthony M. Castaldo University of Texas at San Antonio Department of Computer Science R. Clint Whaley (UTSA-CS) Headlines in Whaleyville March 26, / 9
2 Timeline ATLAS & ifko : ICL/UTK! : FSU/PhD/iFKO 1 SP&E05: L3 Packed & dense BLAS 2 ICPP05: ifko 2005-Present: UTSA 1 SIGPLAN SoLCSD07: Qing Yi-POET 2 SISC08 : error reduction 3 SP&E08: timer design 4 CANA08 : LANB 5 ICPP09 : ML 6 PPoPP10: PCA 7 L2BLAS, mem-bound opt 8 Rewrite of searches R. Clint Whaley (UTSA-CS) Headlines in Whaleyville March 26, / 9
3 iterative Floating Point Kernel Optimizer Whaley & Whalley, ICPP05 What it is FKO highly optimized backend (part x86) Search scripts to tune all parameters Roughly 8 repeatable opts Roughly 6 empirically tuned opts Enough front-end support for Level 1 BLAS What we found Mem-bound ops must be tuned separately for each cache level Ops tuned for various cache lvls use diff opts & params Provided best overall L1BLAS Finally understood why compilers haven t made ATLAS obsolete R. Clint Whaley (UTSA-CS) Headlines in Whaleyville March 26, / 9
4 Why don t compilers work for HPC? My take on the reasons for lack of compiler progress Why don t compilers make library production obsolete? Four anti-hpc Compiler Traditions 1 My assumptions trump your experimental results Libraries eventually have users wt. applications keeps them honest to some degree 2 All problems solved 20 years ago nothing works today HPC weak, but does reward raw performance improvement We haven t solved this prob in serial: Let s solve it on heterogeneous massively parallel machine! 3 Benchmark much more important than application 4 10,000 front-ends, 0 HPC backends CISC compaction, front-end (arch) optimization, inst alignment, inst selection & sched R. Clint Whaley (UTSA-CS) Headlines in Whaleyville March 26, / 9
5 Percent Improvement by tuning NB Serial QR on Core2 & Athlon-64, ACML, ATLAS, GOTO % ath_acm ath_atl ath_got c2d_atl c2d_got % % % % 99.00% Empirically Tuning LAPACK s Blocking Factor for Increased Performance, by R. Clint Whaley. International Multiconference on Computer Science and Information Technology, Wisla, Poland, Oct 20-22, R. Clint Whaley (UTSA-CS) Headlines in Whaleyville March 26, / 9
6 Why does ATLAS suck at threading? The importance of master-last spawning Paper Anthony M. Castaldo and R. Clint Whaley, Minimizing Startup Costs for Performance-Critical Threading IPDPS2009, pages 1-8, Rome, Italy, May 25-29, PMO (usec) LJ, LJA vs. LJAML, PWAML C LJ LJA LJAML PWAML Problem Size R. Clint Whaley (UTSA-CS) Headlines in Whaleyville March 26, /
7 Speedup from new threading approach 8-processor Core2 and K10h Speedup v. Original 205% 200% 195% 190% 185% 180% 175% 170% 165% 160% 155% 150% 145% 140% 135% 130% 125% 120% 115% 110% 105% 100% LU, New thread vs old, p= Problem Size Opt8 Core R. Clint Whaley (UTSA-CS) Headlines in Whaleyville March 26, / 9
8 Speeding up parallel panel factorizations Using Parallel Cache Assignment Paper Anthony M. Castaldo and R. Clint Whaley, Scaling LAPACK Panel Operations Using Parallel Cache Assignment, In Proceedings of the 2010 ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, pages , Bangalore, India, January 9-14, Key Points O(N NB) flops; L2BLAS bus-bound Recur until panel fits in union of parallel caches Split problem by rows, moving parallel overhead into loop Use cache coherence to get hardware-speed thread syncs Use cache-tuned L2BLAS Achieve superlinear speedup (cache speed not mem) R. Clint Whaley (UTSA-CS) Headlines in Whaleyville March 26, / 9
9 Last slide Really Ongoing work Full QR support for ATLAS Siju Samuel PCA on GPUs Kyung Min Su 2-sided factorizations Tony Castaldo How to optimize bus-bound operations Me Rewrite of ATLAS s search & tuning infrastructure Me Where to find papers whaley/papers.html R. Clint Whaley (UTSA-CS) Headlines in Whaleyville March 26, / 9
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